Antonella Pavese
- Cognitive Neuroscience top 5%
- Experimental and Cognitive Psychology top 5%
- Social Psychology top 10%
- Developmental and Educational Psychology top 10%
- Statistics and Probability top 5%
- Co-authors
- Paolo CherubiniAlessandro AngrilliMichael I. PosnerCarlo UmiltàA. HeidrichKaren McLaughlinLaurel J. BuxbaumRaffaella Ricci
- Topics
- Neural and Behavioral Psychology Studies (5 papers)Cognitive and developmental aspects of mathematical skills (3 papers)Mathematics Education and Pedagogy (2 papers)
- Journals
- Proceedings of the National Academy of SciencesNeuropsychologiaJournal of Experimental Psychology Human Perception & Performance
- Partner nations
- United StatesItaly
In The Last Decade
Antonella Pavese
9 papers receiving 751 citations
Peers
Comparison fields: 5 of 86
- Cognitive Neuroscience 538
- Experimental and Cognitive Psychology 305
- Social Psychology 151
- Developmental and Educational Psychology 101
- Statistics and Probability 99
Countries citing papers authored by Antonella Pavese
This map shows the geographic impact of Antonella Pavese's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Antonella Pavese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonella Pavese more than expected).
Fields of papers citing papers by Antonella Pavese
This network shows the impact of papers produced by Antonella Pavese. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Antonella Pavese. The network helps show where Antonella Pavese may publish in the future.
Co-authorship network of co-authors of Antonella Pavese
This figure shows the co-authorship network connecting the top 25 collaborators of Antonella Pavese. A scholar is included among the top collaborators of Antonella Pavese based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Antonella Pavese. Antonella Pavese is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 70 | |
| 3 | 7 | |
| 4 | 199 | |
| 5 | 19 | |
| 6 | 49 | |
| 7 | 11 | |
| 8 | 64 | |
| 9 | 359 |
About Antonella Pavese
Antonella Pavese is a scholar working on Cognitive Neuroscience, Statistics and Probability and Experimental and Cognitive Psychology, having authored 9 papers that have together received 795 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (5 papers), Cognitive and developmental aspects of mathematical skills (3 papers) and Mathematics Education and Pedagogy (2 papers). The work is most often cited by research in Cognitive Neuroscience (538 citations), Experimental and Cognitive Psychology (305 citations) and Statistics and Probability (99 citations). Antonella Pavese has collaborated with scholars based in United States and Italy. Frequent co-authors include Paolo Cherubini, Alessandro Angrilli, Michael I. Posner, Carlo Umiltà, A. Heidrich, Karen McLaughlin, Laurel J. Buxbaum, Raffaella Ricci and Franca Stablum. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuropsychologia and Journal of Experimental Psychology Human Perception & Performance.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.